IEICE TRANSACTIONS on Fundamentals
A High-Accuracy Passive 3D Measurement System Using Phase-Based Image Matching
Summary :
This paper presents a high-accuracy 3D (three-dimen-sional) measurement system using multi-camera passive stereo vision to reconstruct 3D surfaces of free form objects. The proposed system is based on an efficient stereo correspondence technique, which consists of (i) coarse-to-fine correspondence search, and (ii) outlier detection and correction, both employing phase-based image matching. The proposed sub-pixel correspondence search technique contributes to dense reconstruction of arbitrary-shaped 3D surfaces with high accuracy. The outlier detection and correction technique contributes to high reliability of reconstructed 3D points. Through a set of experiments, we show that the proposed system measures 3D surfaces of objects with sub-mm accuracy. Also, we demonstrate high-quality dense 3D reconstruction of a human face as a typical example of free form objects. The result suggests a potential possibility of our approach to be used in many computer vision applications.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E89-A No.3 pp.686-697
- Publication Date
- 2006/03/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e89-a.3.686
- Type of Manuscript
- Special Section PAPER (Special Section on Multidimensional Signal Processing and Its Application)
- Category
- Image/Vision Processing
Authors
Keyword
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Mohammad Abdul MUQUIT, Takuma SHIBAHARA, Takafumi AOKI, "A High-Accuracy Passive 3D Measurement System Using Phase-Based Image Matching" in IEICE TRANSACTIONS on Fundamentals,
vol. E89-A, no. 3, pp. 686-697, March 2006, doi: 10.1093/ietfec/e89-a.3.686.
Abstract: This paper presents a high-accuracy 3D (three-dimen-sional) measurement system using multi-camera passive stereo vision to reconstruct 3D surfaces of free form objects. The proposed system is based on an efficient stereo correspondence technique, which consists of (i) coarse-to-fine correspondence search, and (ii) outlier detection and correction, both employing phase-based image matching. The proposed sub-pixel correspondence search technique contributes to dense reconstruction of arbitrary-shaped 3D surfaces with high accuracy. The outlier detection and correction technique contributes to high reliability of reconstructed 3D points. Through a set of experiments, we show that the proposed system measures 3D surfaces of objects with sub-mm accuracy. Also, we demonstrate high-quality dense 3D reconstruction of a human face as a typical example of free form objects. The result suggests a potential possibility of our approach to be used in many computer vision applications.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e89-a.3.686/_p
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@ARTICLE{e89-a_3_686,
author={Mohammad Abdul MUQUIT, Takuma SHIBAHARA, Takafumi AOKI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A High-Accuracy Passive 3D Measurement System Using Phase-Based Image Matching},
year={2006},
volume={E89-A},
number={3},
pages={686-697},
abstract={This paper presents a high-accuracy 3D (three-dimen-sional) measurement system using multi-camera passive stereo vision to reconstruct 3D surfaces of free form objects. The proposed system is based on an efficient stereo correspondence technique, which consists of (i) coarse-to-fine correspondence search, and (ii) outlier detection and correction, both employing phase-based image matching. The proposed sub-pixel correspondence search technique contributes to dense reconstruction of arbitrary-shaped 3D surfaces with high accuracy. The outlier detection and correction technique contributes to high reliability of reconstructed 3D points. Through a set of experiments, we show that the proposed system measures 3D surfaces of objects with sub-mm accuracy. Also, we demonstrate high-quality dense 3D reconstruction of a human face as a typical example of free form objects. The result suggests a potential possibility of our approach to be used in many computer vision applications.},
keywords={},
doi={10.1093/ietfec/e89-a.3.686},
ISSN={1745-1337},
month={March},}
Copy
TY - JOUR
TI - A High-Accuracy Passive 3D Measurement System Using Phase-Based Image Matching
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 686
EP - 697
AU - Mohammad Abdul MUQUIT
AU - Takuma SHIBAHARA
AU - Takafumi AOKI
PY - 2006
DO - 10.1093/ietfec/e89-a.3.686
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E89-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2006
AB - This paper presents a high-accuracy 3D (three-dimen-sional) measurement system using multi-camera passive stereo vision to reconstruct 3D surfaces of free form objects. The proposed system is based on an efficient stereo correspondence technique, which consists of (i) coarse-to-fine correspondence search, and (ii) outlier detection and correction, both employing phase-based image matching. The proposed sub-pixel correspondence search technique contributes to dense reconstruction of arbitrary-shaped 3D surfaces with high accuracy. The outlier detection and correction technique contributes to high reliability of reconstructed 3D points. Through a set of experiments, we show that the proposed system measures 3D surfaces of objects with sub-mm accuracy. Also, we demonstrate high-quality dense 3D reconstruction of a human face as a typical example of free form objects. The result suggests a potential possibility of our approach to be used in many computer vision applications.
ER -
English
